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Official release of code for "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"

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Hi, thank you for providing this code! in L185-186 (pcd_potts.py), - logp_real = (model(x).squeeze() * weights).mean() - logp_fake = model(x_fake).squeeze().mean() 1. Why reweighting is only applied to x 2. Should...

Hi authors! Thank you for providing the source codes for the excellent work! I have a question regarding the MNIST-RBM experiments (rbm_sample.py). It seems that all the methods are initialized...